Professional Summary
Business Intelligence Developer with 5+ years of experience building enterprise Power BI reporting and automated data pipelines. Combines dashboard and DAX expertise with hands-on SQL, Python, and cloud data engineering (Databricks, Microsoft Fabric) to turn large, messy datasets into decision-ready analytics. Proven track record of measurable business impact: six-figure cost savings, 80% faster reporting, and data models spanning millions of rows. Open to full-time roles as well as contract and freelance engagements in data analysis, dashboard development, and data engineering.
Core Skills
BI & Visualization
Power BI, DAX, Power Query, Tableau, Executive KPI Reporting, Data Modeling (Star Schema)
Data Engineering & Cloud
Azure Databricks, Microsoft Fabric, Apache Spark, ETL/ELT Pipeline Design, Google Cloud Run, Cloud Scheduler, Cloud Storage, PostgreSQL
Languages & Automation
SQL, Python, Power Automate, Workflow Automation, API Integration
Applied AI
Gemini API / LLM Integration, Prompt Engineering, Computer Vision & Image Processing
Platforms & Tools
Excel, Salesforce, Streamlit, Docker, Flask, Google Sheets API
Professional Experience
Business Intelligence Developer
- Deliver high-volume data insights and reporting on customer experience for contact center leadership, translating complex, messy datasets into actionable business recommendations.
- Design and build Power BI dashboards and reports using DAX, Power Query, and star-schema data modeling, engineered to run efficiently across multi-million-row datasets.
- Write and optimize complex SQL queries across Azure Databricks and Microsoft Fabric environments to support enterprise-scale reporting and analytics.
- Automate recurring reporting workflows with Power Automate and Python, reducing manual effort and improving data reliability.
- Partner cross-functionally with Client Experience leadership to identify KPIs, analyze trends, and deliver strategic, data-driven recommendations that improved customer service operations.
Selected Projects
CFPB Consumer Complaint Analysis
Automated Databricks-to-Power BI pipeline analyzing 8.3M+ consumer complaint records, with scheduled API-based ingestion, root-cause decomposition analysis, and geospatial mapping of company response times.
Contact Center SLA Performance Dashboard
Hand-built Python ELT pipeline and Power BI dashboard processing 52,000+ calls end-to-end with no managed cloud platform. Identified the drivers behind 92% SLA compliance, informing $650K+ in annual workflow savings.
Certifications
Google Data Analytics Professional Certificate — 2022
Let's Work Together